About the Journal

Nexus: Journal of Cross-Disciplinary Insights E- ISSN 3123-4186 focuses on publishing research in the field of Science and Technology, encompassing both basic and applied sciences. This journal facilitates scientific work oriented towards knowledge development, technological innovation, and the integration of multidisciplinary approaches to address various contemporary scientific issues. With a focus on science and technology research, Nexus aims to be an academic platform that encourages relevant, high-quality, and effective scientific contributions.

Nexus: Journal of Cross-Disciplinary Insights 2 (two) issues a year in June And December, however articles that have been declared accepted will be queued in the In-Press issue before published in the determined time.

Nexus serves as a bridge for researchers and thinkers seeking to generate comprehensive understandings and holistic solutions, promoting a scholarly dialogue that cuts across the spectrum of knowledge.

Current Issue

Vol. 2 No. 1 (2026): Interdisciplinary Innovation for Sustainable Development

January-June 2026

Nexus Journal Volume 2, Number 1, 2026 publishes five articles authored by researchers from four countriesIndonesia, Nigeria, China, and the United Kingdom. The contributors represent five provinces/regions, namely Jakarta, Banten, Central Java, West Java, and Anambra State (Nigeria), and are affiliated with eight universities: Universitas 17 Agustus 1945 Jakarta, Universitas Persada Indonesia, Nnamdi Azikiwe University, University of the West of England, University of Science and Technology of China, Universitas Islam Negeri Raden Mas Said, Universitas Terbuka, and Universitas Djuanda. The articles featured in this issue cover a wide range of interdisciplinary topics, including the application of color psychology in the construction industry, groundwater quality and public health risk assessment, social impact-oriented business model innovation in geospatial platforms, self-diagnosis behavior among Generation Z in the digital era, and the optimization of industrial loading bay operations through queueing theory analysis.

Published: 2026-06-13
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